Abstract
This study exploits Cameron’s decomposition for polarimetric data analysis and presents an information extraction process so that each PolSAR cell (pixel) is interpreted by two dominating elementary scattering mechanisms each one contributing to the scattering behavior of the SAR pixel with its own weight. The co-distance matrix is introduced to depict the metric distances between these two nearest scattering mechanisms. For most of the scattering mechanisms in each resolution cell, the strength between the first and the second nearest elementary scatterer usually differs slightly. This indicates that the interpretation of the available information in a PolSAR pixel by a single dominant scatterer, as most methods employ, is not adequate. The proposed method presents an alternative to Cameron’s spherical topology by taking advantage of the elementary scattering mechanisms complementary nature and inspired by the philosophy of principal component analysis. According to the introduced topology four elementary scatterers, which are in pairs complementary to each other, are adequate to characterize each PolSAR pixel. The aim of this research is to present a new feature-toοl with a more stochastic nature that could fit a variety of techniques that utilize fully polarimetric data. To prove the strength of the proposed method, the double-scatterer model is applied for interpreting each pixel on a variety of land cover types presenting a richer feature extraction capability, effective in detection and classification procedures.
Highlights
Many different approaches of scattering matrix decomposition have been proposed in the literature in order to extract high quality information from polarimetric data [1,2,3,4,5,6,7,8].Generally, they can be broadly classified into two categories: coherent and non-coherent decompositions
The evaluation of the information content of each SAR pixel as a combination of two elementary scatterers according to the described procedure is simple and reliable
Our goal was to demonstrate the effectiveness of the proposed method in analyzing land cover in each different pixel giving its informational content based on the two stronger scattering mechanisms
Summary
Many different approaches of scattering matrix decomposition have been proposed in the literature in order to extract high quality information from polarimetric data [1,2,3,4,5,6,7,8]. They can be broadly classified into two categories: coherent and non-coherent decompositions. In this work the H/α decomposition is emphasized According to the latter, Cloude and Pottier proposed the representation of scattering characteristics by the space of the entropy H and the averaged scattering angle α parameters. New roll-invariant scattering-type parameters for both full-polarimetric (FP) and compact-polarimetric (CP) SAR data is presented in [9]
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